# Quantum

Revision as of 03:55, 20 September 2019 by Qinminglong (talk | contribs)

## 时间地点

**2019年10月19、20日: 9 am--5 pm.**

- 南京大学 计算机科学与技术系 （南京大学仙林校区常州楼）111报告厅 在线地图

## 日程安排

**10月19日**9:00 **am**-- 9:50**am**[1] (马小松)

南京大学

**Title**: 光量子信息处理

**Coffee Break**10:15 **am**-- 11:05**am**[2] (苏晓龙)

山西大学

**Title**: 基于光场量子态的量子计算和量子纠错

11:10 **am**-- 12:00**pm**[3] (许金时)

中国科学与技术大学

**Title**: 面向高维多模式的光量子模拟

**Lunch Break (12 noon -- 1:30 pm)**1:30 **pm**-- 2:20**pm**[4] (王大伟)

浙江大学

**Title**:Synthesis of anti-symmetric spin exchange interaction in superconducting circuits

2:25 **pm**-- 3:15**pm**鲁大为

南方科技大学

**Title**: Experimental Implementation of Efficient Quantum Pseudorandomness on a 12-spin System

**Abstract**:Quantum pseudorandomness, also known as unitary designs, comprises a powerful resource for emergent quantum technologies. Although in theory pseudorandom unitary operators can be constructed efficiently, realizing these objects in realistic physical systems is a challenging task. Here, we demonstrate experimental generation and detection of quantum pseudorandomness on a 12-qubit nuclear magnetic resonance system. We first apply random sequences to the interacting nuclear spins, leading to random quantum evolutions that can quickly form unitary designs. Then, in order to probe the growth of quantum pseudorandomness during the time-evolutions, we propose the idea of using the system’s multiple-quantum coherence distribution as an indicator. Based on this indicator, we measure the spreading of quantum coherences and find that substantial quantum pseudorandomness has been achieved at the 12-qubit scale. This may open up a path to experimentally explore quantum randomness on forthcoming large-scale quantum processors.

3:20 **pm**-- 4:10**pm**[5] (戴汉宁)

中国科学与技术大学

**Title**: Mass production of entanglement in a defect-free ultracold atom lattice

**Coffee Break**

## Short Bios

- Yu Cheng (程宇) will join the Mathematics (MSCS) Department of University of Illinois at Chicago as Assistant Professor in Fall 2019. He is currently a postdoctoral researcher in the Department of Computer Science at Duke University, hosted by Vincent Conitzer, Rong Ge, Kamesh Munagala, and Debmalya Panigrahi. He obtained his Ph.D. in Computer Science from the University of Southern California in 2017, advised by Shang-Hua Teng. His research interests include machine learning, game theory, and optimization.

- Jingcheng Liu (刘景铖) is in the final year of his PhD in the CS theory group at UC Berkeley, with an anticipated completion of summer 2019, under the supervision of Professor Alistair Sinclair. He is broadly interested in theoretical computer science. His current research focuses on the interplay between phase transitions in statistical physics, locations of zeros of graph polynomials, and algorithmic questions such as the tractable boundaries of approximate counting, sampling and inference. Before attending UC Berkeley, he completed his undergraduate studies in the ACM Honor Class of 2010, at Shanghai Jiao Tong University.

- Weiming Feng (凤维明) is a third year PhD student in the theoretical computer science group at Nanjing University, under the supervision of Professor Yitong Yin. His research mainly focuses on theory of distributed computing and randomized algorithms. Currently, he is working on distributed sampling and dynamic sampling problems.

- Lingxiao Huang (黄棱潇) is a postdoc of computer science in EPFL, where he is advised by Nisheeth Vishnoi. He joined EPFL in 2017, after received his Ph.D. in IIIS, Tsinghua University. His current research interest is algorithm design and computational social choice. He is passionate about creating novel algorithms that are motivated by existing practical challenges.

- Jiapeng Zhang (张家鹏) is a PhD candidate at UC San Diego, under the supervise of Shachar Lovett. He is working on boolean function analysis, computational complexity and foundations of cryptography.

- Penghui Yao (姚鹏晖) is an associate professor in the Department of Computer Science and Technology, Nanjing University. He obtained his doctoral degree from Centre for Quantum Technology, National University of Singapore. Prior to joining Nanjing Univeristy, He was a postdoctoral researcher at CWI Netherlands; IQC University of Waterloo and QuICS University of Maryland. His research mainly focuses on quantum information theory, communication complexity and computational complexity.